Measuring Relational Reasoning
Measuring Relational Reasoning
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DOI：
10.1080/00220973.2014.963216
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发表时间：
2016-01-02
影响因子：
2.2
通讯作者：
Firetto, Carla M.
中科院分区：
文献类型：
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作者：
Alexander, Patricia A.;Dumas, Denis;Firetto, Carla M.
关系推理是在信息流中识别有意义模式的基本认知能力，但其可靠和有效的测量仍然存在问题。在本研究中，关系推理的测量分三个阶段展开。第一阶段需要建立一个以研究为基础的概念结构，并开发相应的关系推理测试（TORR）。第二阶段侧重于TORR数据的可靠性和有效性。分析表明，TORR的数据是学生推理能力的可靠指标，并且TORR的表现可以预测学生在SAT语言和数学问题上的表现。阶段3通过验证性因子分析（CFA）检查了构建的底层结构。在测试的三个CFA模型中，具有类比、反常、反律和对立推理专用因素的模型被认为是最适合数据的。
Relational reasoning is the foundational cognitive ability to discern meaningful patterns within an informational stream, but its reliable and valid measurement remains problematic. In this investigation, the measurement of relational reasoning unfolded in three stages. Stage 1 entailed the establishment of a research-based conceptualization of the construct and the development of a corresponding Test of Relational Reasoning (TORR). Stage 2 focused on the reliability and validity of data from the TORR. Analyses showed the data from the TORR to be reliable indicators of students' ability to reason relationally, and TORR performance predicted students' performance on SAT verbal and math problems. Stage 3 examined the underlying structure of the construct through Confirmatory Factor Analysis (CFA). Of the three CFA models tested, models with dedicated factors for analogical, anomalous, antinomous, and antithetical reasoning were deemed the best fit for the data.